An Ensemble Information Extraction Approach to the BioCreative CHEMDNER Task

@inproceedings{Khabsa2013AnEI,
  title={An Ensemble Information Extraction Approach to the BioCreative CHEMDNER Task},
  author={Madian Khabsa and C. Lee Giles},
  year={2013}
}
We report on the Penn State team’s experience in the CHEMDNER chemical entity mention and the chemical document indexing tasks. Our approach devises a probabilistic framework that incorporates an ensemble of multiple information extractors to obtain high accuracy. The probabilistic framework can be configured to optimize for either precision, recall, or F-Measure based on the task requirement. The ensemble of extractors includes off the shelf chemical entity extractors, along with a version of… CONTINUE READING

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